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Implementation of Recurrent Interface Network (RIN), for highly efficient generation of images and video without cascading networks, in Pytorch

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When running the Trainer example script from readme, the program fails to run with the following error: `Traceback (most recent call last): File "RIN.py", line 20, in trainer = Trainer(...

Hi Phil, I wanted to know about the specific compute that you used or some approximate estimate of compute required to get a minimal architecture runnning. Thanks

Hey, I've worked on reimplementing RIN based on the authors repo and this repo but I cannot manage to make it work with mixed precision and I see you do...

I think there is a bug in the interface self-conditioning in rin_pytorch.py. The model output is interpreted differently during the self-conditioning stage compared to the prediction stage. Currently we have...

Hi, Just another suggestion. Wouldn't the more accurate name for the classes Attention and LinearAttention in rin_pytorch.py be CrossAttention and SelfAttention?

Hi, I was looking to implement the RIN architecture using your code. I noticed you applied positional embedding in every block, as opposed to just once in the beginning. What...

recently ran into a researcher who told me there is a follow up paper to this work does anyone know of it?

help wanted